Go from 'familiar with AI' to the operator employers actually hire
For procurement, supply-chain, and operations professionals who want a concrete, hireable AI skill set and a public portfolio to prove it, starting from zero technical background.
7 chapters, 23 lessons
14-day refund on the yearly plan. Real pricing on the plans page, no surprises.
23
lessons, yours to run
Easy to pick up, built to get you the next job
No coding background needed, and you write code with Claude as you go.
Every section below turns into something a hiring manager recognises, not just notes.
Understand what an AI Operating System actually is
- You'll distinguish between an AI product, a prompt, and a full AI Operating System harness so you can speak precisely in interviews
- You'll identify the five building blocks of a working OS: CLAUDE.md, skills, slash commands, sub-agents, and MCP, explained in plain language with no code required
- You'll watch a live tour of a student-built OS so you can see exactly what you're working towards before you write a single line
Read the hiring market the way a recruiter does
- You'll trace exactly what shifted in hiring between 2023 and 2026 so you stop competing on credentials alone
- You'll learn why 'familiar with AI tools' gets zero callbacks and what interviewers are screening for instead
- You'll analyse a real two-candidate case study and spot the difference that won one person the offer
Map your own three-level path to an in-demand profile
- You'll apply a three-level framework covering yourself, your team, and your job search as an enterprise to prioritise where to build first
- You'll walk away with a clear, jargon-free plan that any hiring manager would recognise as operational maturity, not just enthusiasm
Build your proof-of-work portfolio from day one
- You'll follow a structured six-week build plan and daily practice routine so progress is visible and consistent, no coding background assumed
- You'll set up GitHub as a live evidence trail and a LinkedIn build log so recruiters can see your capability growing in real time
- You'll prepare a seven-minute live demo preview, the kind of hands-on showcase that separates operators from box-tickers in any interview room
Finish this course and you can do all of this, no prior background required:
- You'll be able to explain what an AI Operating System harness is and how it differs from a chatbot or a prompt, the kind of precision that signals to an interviewer you've actually built one.
- You'll be able to name and describe the five building blocks of a working AI OS, a vocabulary that puts you ahead of candidates still talking about 'using ChatGPT'.
- You'll be able to decode what an interviewer is actually screening for when they ask about AI proficiency, and tailor your answers accordingly.
- You'll be able to map your own three-level development path and explain your priorities to a hiring manager in a way that sounds like operational strategy, not self-study.
- You'll be able to point to a live GitHub repository and a LinkedIn build log as verifiable proof of work, the portfolio evidence employers say they want but almost no candidate provides.
- You'll be able to run a seven-minute live demo of your AI OS, turning the most nerve-wracking part of a technical interview into your strongest differentiator.
23 lessons, 7 chapters
Built by practitioners, not influencers
Every agent, skill file, and dataset is drawn from 25+ years and 50+ Oracle ERP implementations across pharma, manufacturing, semiconductor, and distribution.
Kept current with the stack
Claude Code, skills, and MCP move fast. Your licence includes every system update for as long as you're subscribed. Your system gets better, not obsolete.
You've spent years building real procurement and supply-chain expertise, but job listings now ask for AI proficiency you can't easily demonstrate on a CV. Writing that you're 'comfortable with AI tools' lands you in the rejection pile alongside everyone else who typed the same phrase. Hiring managers are looking for candidates who can show a working system, not list a software name. Without a structured way to build and showcase that capability, your experience gets filtered out before a human even reads your application.
What you'll be able to do, module by module
Every module leaves you able to build and run something real. Here is the syllabus, in the order you work through it.
Curriculum
7 chapters · 23 lessons
Section 1: What Is an AI Operating System
You can explain the difference between an AI product, a prompt, and a full AI OS harness, and name the five building blocks of a working system in language that lands in an interview room.
Chapter 1.1: The Harness Explained4 items
- L1: The Resume Is Dead Weight, The Harness Is Alpha🔒
- L2: What an AI Operating System Actually Is🔒
- L3: Harness vs Product vs Prompt🔒
- Q1: Quiz: Harness Fundamentals🔒
Chapter 1.2: The Five Building Blocks3 items
- L4: CLAUDE.md, Skills, Slash Commands, Sub Agents, and MCP in Plain Language🔒
- L5: Live Tour of a Student Built OS🔒
- Q2: Quiz: Building Blocks Check🔒
Section 2: Why Employers Want You to Know This
You can articulate exactly what hiring managers are screening for in 2025 and 2026, and diagnose why generic AI claims fail, so you position yourself as the candidate who already gets it.
Chapter 2.1: The Market Shift3 items
- L6: What Changed in Hiring Between 2023 and 2026🔒
- L7: Why Familiar with AI Tools Gets Zero Callbacks🔒
- Q3: Quiz: Reading the Market🔒
Chapter 2.2: The Employer Lens3 items
- L8: What Interviewers Are Actually Screening For🔒
- L9: Case Study: Two Candidates, One Offer🔒
- Q4: Quiz: The Employer Lens🔒
Section 3: The Three Level Path You Already Control
You can map your own build priorities across three levels: personal productivity, team or group impact, and your job search, giving you a concrete sequencing plan rather than a vague intention.
Chapter 3.1: Self, Group, and Job Search4 items
- L10: Level 1: Yourself🔒
- L11: Level 2: Your Group🔒
- L12: Level 3: Your Job Search as a Company🔒
- Q5: Quiz: The Three Levels🔒
Section 4: Learn, Practice, Showcase
You can follow a six-week build plan, maintain a daily practice routine, and publish GitHub and LinkedIn evidence that lets recruiters watch your capability develop in real time before they invite you to interview.
Chapter 4.1: How to Learn and Practice2 items
- L13: The 6 Week Build Plan🔒
- L14: Daily and Weekly Practice Routines🔒
Chapter 4.2: How to Showcase4 items
- L15: GitHub as Your Proof of Work🔒
- L16: The LinkedIn Build Log🔒
- L17: The 7 Minute Live Demo Preview🔒
- Q6: Final Assessment: Foundations🔒
Employers searching for procurement and supply-chain talent are increasingly filtering for candidates who can demonstrate a structured AI capability, not just name a tool. Completing this course and publishing the proof-of-work portfolio it produces puts you in the small group of practitioners who can show as well as tell, which is exactly the profile that gets shortlisted.
From subscribing to running your first artifact
Subscribe and get instant access
Create your account and open AC 100 straight away. There's a free preview lesson so you can confirm the course fits before you commit a penny.
Follow the course from lesson one
Work through the four sections in order. Every lesson is designed for practitioners with no coding background. Quizzes after each chapter keep you honest, and mentor review is available throughout.
Publish your first proof-of-work artefact
By Section 4 you'll have a GitHub repository, a LinkedIn build log entry, and the outline of a seven-minute live demo. That's a portfolio you can point to in your next interview, not a certificate no one can verify.
From 'familiar with AI' to interview-ready in four sections
You spot the gap in your application
You're a category manager with ten years of supplier negotiation behind you. Every job listing asks for AI proficiency. You've used a couple of chatbots but you couldn't explain what an AI Operating System is if an interviewer asked. Section 1 closes that gap in plain language, no technical background required.
You learn what interviewers are actually measuring
Section 2 walks you through the case study of two candidates going for the same role. One says 'I use AI tools regularly.' The other demonstrates a structured harness and explains the building blocks. You leave the section knowing which answer wins and why.
You map your own build sequence
Section 3 gives you the three-level framework. You decide to start at Level 1, building an OS that automates your own sourcing prep and RFx drafting, before moving to group and job-search applications. You have a sequence, not just a plan.
You publish your first proof-of-work artefact
Section 4 puts you on the six-week build plan. By the end of the foundations course your GitHub repository is live, your LinkedIn build log has its first entry, and you've rehearsed the opening two minutes of your live demo. A recruiter searching for AI-capable procurement operators can now find you.
The toolkit you'll build and run in this program
You leave with working assets, not notes.
Real things you can demo in an interview.
A structured six-week build plan you can start immediately, with daily and weekly practice routines baked in
A GitHub repository set up as a public proof-of-work trail, ready to share with recruiters
A LinkedIn build log framework for narrating your capability growth in real time
A seven-minute live demo outline you can rehearse and deploy in any interview
Quiz results and a final assessment submission you can reference as documented evidence of foundations completed
You'll get the most from this if
Procurement and supply-chain professionals who know their domain expertise is strong but can't yet demonstrate AI capability in a way employers recognise
Students and recent graduates in operations, logistics, or business who want to stand out before they have years of experience to lean on
Experienced practitioners returning to the job market who need to close the AI credibility gap quickly without a technical background
Anyone who has written 'familiar with AI tools' on a CV and got no callbacks, and wants to replace that line with something a hiring manager will actually act on
Yearly plan: 14-day keep-the-system guarantee
14-day refund on the yearly plan. Finish the first two modules, and if you haven't run your first live pipeline, take a full refund.
Straight answers before you subscribe
Do I need any coding or technical background to do this course?
None at all. Every lesson in AC 100 is written for procurement and operations practitioners, not developers. The building blocks are explained in plain language, the live tour in Section 1 shows you a finished student OS before you build anything, and the mentor review available throughout means you're never stuck alone on a technical point.
Will this work with my current setup, laptop, and software?
Yes. The course is designed around tools you access through a browser. There's no specialist hardware or enterprise software licence required. The GitHub and LinkedIn elements in Section 4 use free accounts you likely already have.
What if I don't like the course after I start?
There's a free preview lesson before you pay anything. If you subscribe and still decide it's not right for you, there's a 14-day refund policy, no complicated process.
How does the course stay current as AI hiring practices change?
The curriculum is updated as the market shifts. Because you're enrolled, you get access to those updates without paying again. The Section 2 market analysis, which covers what changed in hiring between 2023 and 2026, is the kind of content we revise as new evidence emerges.
Can I use what I build here in job applications and at work?
Yes. The portfolio artefacts, your GitHub repository, your LinkedIn build log, and your demo outline, are yours to use commercially and in applications. The course is designed specifically so that what you produce is hireable evidence, not classroom work that stays inside a learning platform.